Commonwealth Bank of Australia Deploys Agentic AI System to Spot Fraud Patterns and Propose Detection Rules

The Commonwealth Bank of Australia says its agent has contributed to developing or updating three quarters of CommBank's card fraud rules, which are used to identify potential fraud. CommBank's in-house data science and engineering teams developed the system in three months, with ongoing testing demonstrating strong fraud detection outcomes. "When suspicious patterns are identified, the system quickly assesses their severity, analyses context, and proposes new detection rules to help intercept them," said James Roberts, Executive General Manager of Fraud and Scams. The agentic AI system is designed to help detect emerging fraud and scam patterns in transaction and payments data and to generate the rules needed to intercept them. The agent builds on CommBank's existing fraud protection systems, which have a range of AI capabilities embedded and monitor more than 80 million signals each day, including transactions, card and online payments and interactions with digital banking channels. The investment is part of CommBank's $1 billion annual commitment to help safeguard customers from fraud, scams, cyber threats and financial crime. According to Roberts, the agent operates around the clock, continuously monitoring activity and adapting to emerging threats. New detection rules are reviewed and approved by CommBank's fraud analytics team prior to implementation, a process the bank calls human-in-the-loop oversight. The system is built on Snowflake's data cloud and powered by CommBank's cloud-based core banking platform, which the bank says enables reliability and access to real-time data. AI models used across the bank are governed by its risk management frameworks and policies, with clear human accountability for outcomes. For bank-wide context, CommBank processes more than 20 million payments on average each day and sends more than 40,000 proactive warning alerts on average to customers via the CommBank app. The bank's fraud detection technology has played a role in helping to reduce fraud losses by over 20% in the first half of the 2026 financial year compared with the first half of the 2025 financial year.